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supergoose/buzz_sources_261_openchat-3.5-0106 | supergoose | "2024-11-10T20:30:56Z" | 9 | 0 | [
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supergoose/buzz_sources_262_livescript | supergoose | "2024-11-10T20:30:57Z" | 9 | 0 | [
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supergoose/buzz_sources_263_textile | supergoose | "2024-11-10T20:30:58Z" | 9 | 0 | [
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supergoose/buzz_sources_264_xtend | supergoose | "2024-11-10T20:30:59Z" | 9 | 0 | [
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supergoose/buzz_sources_265_awk | supergoose | "2024-11-10T20:31:00Z" | 9 | 0 | [
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supergoose/buzz_sources_266_vala | supergoose | "2024-11-10T20:31:02Z" | 9 | 0 | [
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supergoose/buzz_sources_267_ceylon | supergoose | "2024-11-10T20:31:03Z" | 9 | 0 | [
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supergoose/buzz_sources_268_actionscript | supergoose | "2024-11-10T20:31:04Z" | 9 | 0 | [
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supergoose/buzz_sources_269_pod | supergoose | "2024-11-10T20:31:05Z" | 9 | 0 | [
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supergoose/buzz_sources_270_qwen1.5-7b-chat | supergoose | "2024-11-10T20:51:37Z" | 9 | 0 | [
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supergoose/buzz_sources_271_visual-basic | supergoose | "2024-11-10T20:51:38Z" | 9 | 0 | [
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supergoose/buzz_sources_272_jupyter-notebook | supergoose | "2024-11-10T20:51:39Z" | 9 | 0 | [
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supergoose/buzz_sources_273_edn | supergoose | "2024-11-10T20:51:39Z" | 9 | 0 | [
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supergoose/buzz_sources_274_sqf | supergoose | "2024-11-10T20:51:40Z" | 9 | 0 | [
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supergoose/buzz_sources_275_rouge | supergoose | "2024-11-10T20:51:41Z" | 9 | 0 | [
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supergoose/buzz_sources_276_dockerfile | supergoose | "2024-11-10T20:51:42Z" | 9 | 0 | [
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supergoose/buzz_sources_277_xquery | supergoose | "2024-11-10T20:51:43Z" | 9 | 0 | [
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supergoose/buzz_sources_278_idris | supergoose | "2024-11-10T20:51:46Z" | 9 | 0 | [
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supergoose/buzz_sources_279_linker-script | supergoose | "2024-11-10T20:51:47Z" | 9 | 0 | [
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supergoose/buzz_sources_280_solidity | supergoose | "2024-11-10T20:51:48Z" | 9 | 0 | [
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supergoose/buzz_sources_283_qwen1.5-4b-chat | supergoose | "2024-11-10T20:51:51Z" | 9 | 0 | [
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supergoose/buzz_sources_284_mediawiki | supergoose | "2024-11-10T20:51:52Z" | 9 | 0 | [
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] | null | "2024-11-10T20:51:51Z" | ---
dataset_info:
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|
supergoose/buzz_sources_285_json5 | supergoose | "2024-11-10T20:51:53Z" | 9 | 0 | [
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supergoose/buzz_sources_286_graphviz-dot | supergoose | "2024-11-10T20:51:55Z" | 9 | 0 | [
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supergoose/buzz_sources_287_liquid | supergoose | "2024-11-10T20:51:56Z" | 9 | 0 | [
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supergoose/buzz_sources_288_thrift | supergoose | "2024-11-10T20:51:57Z" | 9 | 0 | [
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supergoose/buzz_sources_289_mistral-7b-instruct-v0.2 | supergoose | "2024-11-10T20:51:58Z" | 9 | 0 | [
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|
supergoose/buzz_sources_290_groovy-server-pages | supergoose | "2024-11-10T20:51:59Z" | 9 | 0 | [
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|
supergoose/buzz_sources_291_cuda | supergoose | "2024-11-10T20:52:00Z" | 9 | 0 | [
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supergoose/buzz_sources_292_pascal | supergoose | "2024-11-10T20:52:02Z" | 9 | 0 | [
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supergoose/buzz_sources_293_sparql | supergoose | "2024-11-10T20:52:03Z" | 9 | 0 | [
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supergoose/buzz_sources_294_opencl | supergoose | "2024-11-10T20:52:04Z" | 9 | 0 | [
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supergoose/buzz_sources_296_pan | supergoose | "2024-11-10T20:52:06Z" | 9 | 0 | [
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supergoose/buzz_sources_297_asp | supergoose | "2024-11-10T20:52:07Z" | 9 | 0 | [
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|
Nayana-cognitivelab/Nayana-OCRBench-in-0.1k-v1-arxiv | Nayana-cognitivelab | "2024-11-14T17:44:34Z" | 9 | 0 | [
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|
SachiK/llama-dataset-bad | SachiK | "2024-11-15T06:08:02Z" | 9 | 0 | [
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dataset_info:
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|
AsadCognify/6736f3399d90d34955f0554f-700 | AsadCognify | "2024-11-15T07:08:27Z" | 9 | 0 | [
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dataset_info:
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---
|
khaihernlow/congressional-hearings | khaihernlow | "2024-11-16T00:55:07Z" | 9 | 0 | [
"task_categories:text-classification",
"language:en",
"size_categories:100K<n<1M",
"format:json",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"finance",
"legal"
] | [
"text-classification"
] | "2024-11-16T00:42:32Z" | ---
task_categories:
- text-classification
language:
- en
tags:
- finance
- legal
---
# U.S. Congressional Hearings Dataset
This dataset currently contains cleaned sentences from all House Committee on Energy and Commerce hearings from 2002.
A total of 1K+ hearing transcripts in txt formats from govinfo.gov were collected and cleaned. |
akioi/lcb_ccp_hard | akioi | "2024-11-16T20:10:16Z" | 9 | 0 | [
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|
werty1248/Magpie-Ko-Qwen2.5-Reasoning-Raw | werty1248 | "2024-11-19T07:31:44Z" | 9 | 0 | [
"task_categories:text-generation",
"language:ko",
"license:apache-2.0",
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"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | [
"text-generation"
] | "2024-11-16T15:34:06Z" | ---
dataset_info:
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dtype: string
- name: seed
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- name: temperature
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configs:
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path: data/train-*
license: apache-2.0
task_categories:
- text-generation
language:
- ko
size_categories:
- 100K<n<1M
---
### Data Generation
#### System Message
- Korean Reasoning Template
```
"pre_query_template": "<|im_start|>system\n당신은 알리바바 클라우드에서 만든 Qwen입니다. 당신은 유용한 어시스턴트입니다.\nuser가 논리적인 다단계의 추론 과정이 필요한 복잡한 문제를 내면, assistant는 한국어로 단계적으로 풀이를 제시합니다.<|im_end|>\n<|im_start|>user\n"
```
- (Original)
```
"pre_query_template": "<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n<|im_start|>user\n"
```
#### Model
- Question: [Qwen/Qwen2.5-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-32B-Instruct)
- With vLLM
- Answer: [Qwen/Qwen2.5-72B-Instruct](https://huggingface.co/Qwen/Qwen2.5-72B-Instruct)
- With [openrouter.ai](https://openrouter.ai/), Provider: [Together.ai](https://www.together.ai/)
※ Together AI's Qwen2.5-72b-instruct answer is not guaranteed to be reproducible, even with temperature=0.0.
#### Options
- temperature: {1.0, 0.9, 0.8}
- Amount: {40k, 40k, 40k}
- top_p: 0.99
- max_length: 1024(question), 4096(answer)
### Filtering
#### Non-Korean Result
- Removed question/answer contains Chinese character
- Removed question/answer contains full English sentence
#### Question Similarity
- Embedding model: [jinaai/jina-embeddings-v3](https://huggingface.co/jinaai/jina-embeddings-v3)
- Based on [Korean Embedding Model Benchmark](https://github.com/su-park/mteb_ko_leaderboard) from su-park
- Similarity Distribution
![image/png](https://cdn-uploads.huggingface.co/production/uploads/6629154d55d7c289634b8c5d/qMR6K00UsJFSUSf5S-ggH.png)
- Removed min_neighbor_distance < 0.1 (about 1%)
#### Repitition(Max Token)
- Removed answer length == 4096
#### Question Distribution
![image/png](https://cdn-uploads.huggingface.co/production/uploads/6629154d55d7c289634b8c5d/25RqhB1PJCK7uv5fH1F4D.png)
---
### Question Quality(Completeness) based filtering (Not Applied Yet)
- Some questions are not solvable without additional conditions. The answers are confusing. I didn't remove it yet.
### Difficulty based filtering (Not Applied Yet)
- Some questions are too easy to solve. |
nkazi/Mohler | nkazi | "2024-11-16T20:48:58Z" | 9 | 0 | [
"task_categories:text-classification",
"language:en",
"license:cc-by-4.0",
"region:us"
] | [
"text-classification"
] | "2024-11-16T20:48:58Z" | ---
pretty_name: Mohler
license: cc-by-4.0
language:
- en
task_categories:
- text-classification
---
# Dataset Card for "Mohler"
## Currently, I am curating the dataset for language models and will upload it soon. Thanks for your patience.
## Citation
```tex
@inproceedings{mohler2011learning,
title = {Learning to Grade Short Answer Questions using Semantic Similarity Measures and Dependency Graph Alignments},
author = {Mohler, Michael and Bunescu, Razvan and Mihalcea, Rada},
year = 2011,
month = jun,
booktitle = {Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies},
pages = {752--762},
editor = {Lin, Dekang and Matsumoto, Yuji and Mihalcea, Rada},
publisher = {Association for Computational Linguistics},
address = {Portland, Oregon, USA},
url = {https://aclanthology.org/P11-1076},
}
``` |
ADHIZ/honda | ADHIZ | "2024-11-17T09:25:03Z" | 9 | 0 | [
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"region:us"
] | null | "2024-11-17T09:24:57Z" | ---
dataset_info:
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configs:
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path: data/train-*
---
|
J-Seo/k_halu_malay | J-Seo | "2024-11-17T14:00:00Z" | 9 | 0 | [
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] | null | "2024-11-17T13:59:56Z" | ---
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sequence: int64
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download_size: 932688
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|
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license: apache-2.0
---
|
crtvai/jordan-dataset-v18 | crtvai | "2024-11-18T11:00:30Z" | 9 | 0 | [
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muibk/gnhk | muibk | "2024-11-18T11:01:22Z" | 9 | 0 | [
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|
Luffytaro-1/how-joker-start | Luffytaro-1 | "2024-11-18T13:37:54Z" | 9 | 0 | [
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VargheseP/palgo_distribution_validation | VargheseP | "2024-11-18T18:18:20Z" | 9 | 0 | [
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|
akahana/id-en-dirty | akahana | "2024-11-19T01:58:25Z" | 9 | 0 | [
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license: apache-2.0
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|
Russell35/RealWheat2021 | Russell35 | "2024-11-19T02:20:37Z" | 9 | 0 | [
"license:gpl-3.0",
"region:us"
] | null | "2024-11-19T02:20:37Z" | ---
license: gpl-3.0
---
|
BobShih1008/IMX678_Raw_images_20240111 | BobShih1008 | "2024-11-19T03:34:01Z" | 9 | 0 | [
"license:mit",
"region:us"
] | null | "2024-11-19T03:34:00Z" | ---
license: mit
---
|
lianghsun/tw-law-article-qa-DPO | lianghsun | "2024-11-19T07:02:03Z" | 9 | 0 | [
"task_categories:text-generation",
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"library:mlcroissant",
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] | [
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] | "2024-11-19T03:53:35Z" | ---
license: cc-by-nc-sa-4.0
task_categories:
- text-generation
language:
- zh
tags:
- legal
size_categories:
- n<1K
---
# Dataset Card for lianghsun/tw-law-article-qa-DPO
<!-- Provide a quick summary of the dataset. -->
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
- **Curated by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
### Dataset Sources [optional]
<!-- Provide the basic links for the dataset. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the dataset is intended to be used. -->
### Direct Use
<!-- This section describes suitable use cases for the dataset. -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
[More Information Needed]
## Dataset Structure
<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
[More Information Needed]
## Dataset Creation
### Curation Rationale
<!-- Motivation for the creation of this dataset. -->
[More Information Needed]
### Source Data
<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
#### Data Collection and Processing
<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
[More Information Needed]
#### Who are the source data producers?
<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
[More Information Needed]
### Annotations [optional]
<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
#### Annotation process
<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
[More Information Needed]
#### Who are the annotators?
<!-- This section describes the people or systems who created the annotations. -->
[More Information Needed]
#### Personal and Sensitive Information
<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
## Citation [optional]
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Dataset Card Authors [optional]
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## Dataset Card Contact
[More Information Needed] |
RyanYr/nvidia-OpenMathInstruct-2 | RyanYr | "2024-11-19T04:05:00Z" | 9 | 0 | [
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|
dsharma123/Augmented_data | dsharma123 | "2024-11-19T04:40:17Z" | 9 | 0 | [
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] | null | "2024-11-19T04:40:17Z" | ---
license: mit
---
|
Sjini/llamafinetune | Sjini | "2024-11-19T04:45:16Z" | 9 | 0 | [
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---
|
connorryan/podcast-transcript-segmentation | connorryan | "2024-11-19T04:56:29Z" | 9 | 0 | [
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] | null | "2024-11-19T04:56:29Z" | ---
license: apache-2.0
---
|
xiaobaia/sql_query | xiaobaia | "2024-11-19T05:46:53Z" | 9 | 0 | [
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license: apache-2.0
---
|
Adelante/Misunderstanding_Analysis_on_Choices_with_ref_v2 | Adelante | "2024-11-19T06:42:45Z" | 9 | 0 | [
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|
VargheseP/palgo_distribution_new_train | VargheseP | "2024-11-19T07:19:18Z" | 9 | 0 | [
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---
|
Mohamed-DLM/Roadmap-Learning-Programming | Mohamed-DLM | "2024-11-19T07:34:27Z" | 9 | 0 | [
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---
|
apptestai/kvqa | apptestai | "2024-11-19T07:50:15Z" | 9 | 0 | [
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---
|
yubinnii/casamia2 | yubinnii | "2024-11-19T07:53:03Z" | 9 | 0 | [
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|
VargheseP/palgo_bbx_new_test | VargheseP | "2024-11-19T08:27:05Z" | 9 | 0 | [
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---
|
VargheseP/palgo_bbx_new_validation | VargheseP | "2024-11-19T08:28:20Z" | 9 | 0 | [
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] | null | "2024-11-19T08:27:06Z" | ---
dataset_info:
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---
|
Yotofu/so100_shoes_test | Yotofu | "2024-11-19T09:03:10Z" | 9 | 0 | [
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"region:us",
"LeRobot",
"so100_stereo",
"tutorial"
] | [
"robotics"
] | "2024-11-19T09:03:00Z" | ---
task_categories:
- robotics
tags:
- LeRobot
- so100_stereo
- tutorial
---
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
|
Qutiba/deneme_22 | Qutiba | "2024-11-19T09:42:15Z" | 9 | 1 | [
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Tippawan/nf-story-telling | Tippawan | "2024-11-19T09:56:13Z" | 9 | 0 | [
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---
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hehao0567/zhibo | hehao0567 | "2024-11-19T10:24:33Z" | 9 | 0 | [
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license: mit
---
|